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accession-icon GSE18377
Gene expression profiling of human DLBCL tumor samples (FF and FFPE pairs)
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We profiled human DLBCL tumor samples (FF and FFPE matched pairs) to identify the transcripts which are less prone to degradation in FFPE

Publication Title

CD40 pathway activation status predicts response to CD40 therapy in diffuse large B cell lymphoma.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE18376
Gene expression profiling of human DLBCL tumor samples (SGN-40 trial)
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We profiled human DLBCL patient samples to discover predictive biomarkers

Publication Title

CD40 pathway activation status predicts response to CD40 therapy in diffuse large B cell lymphoma.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP061276
Maize (Zea mays) leaf transcriptome analysis under abiotic stress in wild type and RNA Polymerase IV mutant
  • organism-icon Zea mays
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Plants have developed complex mechanisms to respond and adapt to abiotic stresses, coupling elaborate modulation of gene expression together with the preservation of genome stability. Epigenetic mechanisms - DNA methylation, chromatin modifications and non coding RNAs - were shown to play a fundamental role in stress-induced gene regulation and may also result in genome destabilization, with the activation and/or the transcription of silenced transposons and retroelements, causing genome rearrangements and novel gene expression patterns. Maize leaf transcriptome was analyzed by total RNA-Seq in both B73 and rmr6 (PolIV mutant involved in siRNA biogenesis and in the RdDM pathway) after drought and salt stress application. Reference annotation based transcript assembly allowed the identification both of new expressed loci and splicing variants, improving the current maize transcriptome annotation. Many antisense transcripts matching on the opposite strand of annotated loci were also identified, while more than the 20% of transcripts represent non coding RNA belonging to four classes: siRNAs, shRNAs, lncRNAs and transposable elements (or their relics). Several lncRNAs are modulated by stress application while TE-related sequences are mainly expressed in rmr6 and up-regulated by the stress. Overall design: Total RNA-Seq analysis of maize leaves from wt and rmr6-1 mutant plants grown under 1) control conditions, 2) drought stress, 3) salt stress, 4) salt+drought stress. Each condition was investigated in triplicate after 10 days of treatment and after 7 days of recovery. Samples derived from replicates 2 and 3 were pooled and sequenced together

Publication Title

Maize RNA PolIV affects the expression of genes with nearby TE insertions and has a genome-wide repressive impact on transcription.

Sample Metadata Fields

Treatment, Subject, Time

View Samples
accession-icon SRP113797
Control of maize vegetative and reproductive development, fertility and rRNAs silencing by HISTONE DEACETYLASE 108 [PMeA and MiA]
  • organism-icon Zea mays
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Histone deacetylases (HDACs) catalyze the removal of acetyl groups from acetylated histone tails that consequently interact more closely with DNA, leading to chromatin state refractory to transcription. Zea mays HDA108 belongs to the Rpd3/HDA1 HDAC family and is ubiquitously expressed during development. The newly isolated hda108/hda108 insertional mutant exhibited many developmental defects: significant reduction in plant height, alterations of shoot and leaf development, alterations of inflorescence patterning and fertility. Western blot analyses and immunolocalization experiments revealed an evident increase in histone acetylation, accompanied by a marked reduction in H3K9 dimethylation, in mutant nuclei. The DNA methylation status, in the CHG sequence context, and the transcript level of ribosomal sequences were also affected in hda108 mutants, while enrichment in H3 and H4 acetylation characterizes both repetitive and non-repetitive transcriptional up-regulated loci. RNA-Seq both of young leaf and anthers indicated that transcription factor expression is highly affected and that the pollen developmental programme results as disrupted in hda108 mutants. Crosses between hda108/hda108 and epiregulator mutants did not produce any double mutant progeny indicating possible genetic interactions of HDA108 with distinct epigenetic pathways. Our findings indicate that HDA108 is directly involved in regulation of maize development, fertility and epigenetic regulation of genome activity. Overall design: Total RNA-Seq analysis of maize anthers at post-meiotic (PMeA) and mitotic (MiA) stages. 2 biological replicates for stage, each obtained by pooling anthers from three tassels per genotype were collected from wild-type and hda108 mutant plants. Strand-specific sequencing on a Illumina HiSeq2500

Publication Title

Control of Maize Vegetative and Reproductive Development, Fertility, and rRNAs Silencing by <i>HISTONE DEACETYLASE 108</i>.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE26878
Digital gene and expression profiling of primary acute lymphoblastic leukemia (ALL) cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Digital gene expression profiling of primary acute lymphoblastic leukemia cells.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE26865
Gene expression profiling of primary acute lymphoblastic leukemia (ALL) cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this study was to benchmark digital gene expression (DGE) profiling by massively parallel sequencing against the most commonly used method for gene expression analysis. We compared the DGE levels to expression levels from Affymetrix arrays. Data from Affymetrix Human Genome U133 plus 2.0 GeneChips was available for 12 of the 21 RNA samples from ALL patient cells analyzed by DGE.

Publication Title

Digital gene expression profiling of primary acute lymphoblastic leukemia cells.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon SRP062144
Integrated analysis of MLL-AF9 AML patients and model leukemias highlights RET and other novel therapeutic targets (RNA-seq AML development)
  • organism-icon Homo sapiens
  • sample-icon 83 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Next generation DNA sequencing of acute myeloid leukemia (AML) patient samples has revealed novel recurrent mutations while at the same time highlighting the genetic heterogeneity of the disease. These observations suggest that an extraordinarily large number of combinations of mutations can contribute to leukemogenesis. In order to address the question of the contribution of patient genetic background to AML we have developed a model system to generate multiple human leukemias in a single donor’s genetic background. Stepwise RNA-seq data from this model shows that in the context of AML driven by the MLL-AF9 (MA9) oncogene, the genetic background of the donor does not have a detectable effect. Comparison of these model leukemias from multiple single donors to AML patient samples containing MA9 translocations revealed conserved gene expression patterns not previously highlighted in this genetic sub-type. We further demonstrate that the expression of one of these genes, RET, is essential both in vivo and in vitro growth of MA9 AMLs . Overall design: study of transcriptome during the development of MLL-AF9 AML

Publication Title

Modeling human MLL-AF9 translocated acute myeloid leukemia from single donors reveals RET as a potential therapeutic target.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP062170
Integrated analysis of MLL-AF9 AML patients and model leukemias highlights RET and other novel therapeutic targets (RNA-seq B-ALL)
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Next generation DNA sequencing of acute myeloid leukemia (AML) patient samples has revealed novel recurrent mutations while at the same time highlighting the genetic heterogeneity of the disease. These observations suggest that an extraordinarily large number of combinations of mutations can contribute to leukemogenesis. In order to address the question of the contribution of patient genetic background to AML we have developed a model system to generate multiple human leukemias in a single donor’s genetic background. Stepwise RNA-seq data from this model shows that in the context of AML driven by the MLL-AF9 (MA9) oncogene, the genetic background of the donor does not have a detectable effect. Comparison of these model leukemias from multiple single donors to AML patient samples containing MA9 translocations revealed conserved gene expression patterns not previously highlighted in this genetic sub-type. We further demonstrate that the expression of one of these genes, RET, is essential both in vivo and in vitro growth of MA9 AMLs . Overall design: study of transcriptome during the development of MLL-AF9 B-ALL

Publication Title

Modeling human MLL-AF9 translocated acute myeloid leukemia from single donors reveals RET as a potential therapeutic target.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP061972
Integrated analysis of MLL-AF9 AML patients and model leukemias highlights RET and other novel therapeutic targets [RNA-Seq_AML]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Next generation DNA sequencing of acute myeloid leukemia (AML) patient samples has revealed novel recurrent mutations while at the same time highlighting the genetic heterogeneity of the disease. These observations suggest that an extraordinarily large number of combinations of mutations can contribute to leukemogenesis. In order to address the question of the contribution of patient genetic background to AML we have developed a model system to generate multiple human leukemias in a single donor’s genetic background. Stepwise RNA-seq data from this model shows that in the context of AML driven by the MLL-AF9 (MA9) oncogene, the genetic background of the donor does not have a detectable effect. Comparison of these model leukemias from multiple single donors to AML patient samples containing MA9 translocations revealed conserved gene expression patterns not previously highlighted in this genetic sub-type. We further demonstrate that the expression of one of these genes, RET, is essential both in vivo and in vitro growth of MA9 AMLs . Overall design: Transcriptome of several AML cell lines

Publication Title

Modeling human MLL-AF9 translocated acute myeloid leukemia from single donors reveals RET as a potential therapeutic target.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP061973
Integrated analysis of MLL-AF9 AML patients and model leukemias highlights RET and other novel therapeutic targets [RNA-Seq_normal]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Next generation DNA sequencing of acute myeloid leukemia (AML) patient samples has revealed novel recurrent mutations while at the same time highlighting the genetic heterogeneity of the disease. These observations suggest that an extraordinarily large number of combinations of mutations can contribute to leukemogenesis. In order to address the question of the contribution of patient genetic background to AML we have developed a model system to generate multiple human leukemias in a single donor’s genetic background. Stepwise RNA-seq data from this model shows that in the context of AML driven by the MLL-AF9 (MA9) oncogene, the genetic background of the donor does not have a detectable effect. Comparison of these model leukemias from multiple single donors to AML patient samples containing MA9 translocations revealed conserved gene expression patterns not previously highlighted in this genetic sub-type. We further demonstrate that the expression of one of these genes, RET, is essential both in vivo and in vitro growth of MA9 AMLs . Overall design: Transcriptome of normal cells (CD34+) from different donors

Publication Title

Modeling human MLL-AF9 translocated acute myeloid leukemia from single donors reveals RET as a potential therapeutic target.

Sample Metadata Fields

No sample metadata fields

View Samples

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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